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This paper presents a sociocultural knowledge ontology (OntoSOC) modeling approach. Onto-SOC modeling approach is based on Engeström"s Human Activity Theory (HAT). That Theory allowed us to identify fundamental concepts and relationships... more
Multimedia constitutes an interesting field of application for Semantic Web and Semantic Web reasoning, as the access and management of multimedia content and context depends strongly on the semantic descriptions of both. At the same... more
Medical language processing and deep learning techniques have emerged as critical tools for improving healthcare, particularly in the analysis of medical imaging and medical text data. These multimodal data fusion techniques help to... more
This paper deals with a natural language dialogue tool for supporting the database design process. We want to illustrate how natural language (German) can be used for obtaining a skeleton design and for supporting the acquisition of... more
Since the seventeenth century, science has excluded causa ?inalis from its conceptual framework, rendering teleological structures invisible even where their effects are manifest. This paper proposes a mathematical rehabilitation of ?inal... more
The emerging field Machine-to-Machine (M2M) enables machines to communicate with each other without human intervention. Existing semantic sensor networks are domainspecific and add semantics to the context. We design a Machine-to-Machine... more
This essay develops a theoretical framework for a semantic Artificial General Intelligence (AGI) based on the notion of semantic attractors in complex-valued meaning spaces. Departing from current transformer-based language models, which... more
Internment is a measure by which civilians are preventively deprived of their liberty, based on a decision of the executive authority. Therefore, the Fourth Geneva Convention requires the existence of serious reasons for the use of... more
Abstractt-Achieving semantic interoperability is a current challenge in the field of data integration in order to bridge semantic conflicts occurring when the participating sources and receivers use different or implicit data assumptions.... more
Thinking of today's web search scenario which is mainly keyword based, leads to the need of effective and meaningful search provided by Semantic Web. Existing search engines are vulnerable to provide relevant answers to users query due to... more
Data-driven neural word embeddings (NWEs), grounded in distributional semantics, can capture various ranges of linguistic regularities, which can be further enriched by incorporating structured knowledge resources. This work proposes a... more
This paper presents a stepwise methodological framework for integrating Conceptual Metaphor Theory (CMT) with corpus-based data using a single-lexeme model of analysis. Building on Stefanowitsch’s Metaphorical Pattern Analysis (MPA), the... more
The increasing utilization of digital technologies presents risks to critical systems due to exploitation by terrorists. Cybersecurity entails proactive and reactive measures designed to protect software and electronic devices from any... more
In recent years, the problem of Cross-Lingual Text Reuse Detection (CLTRD) has gained the interest of the research community due to the availability of large digital repositories and automatic Machine Translation (MT) systems. These... more
Managing process variability enable the process model adaptability according changes in the application environment. In the healthcare area, flexibility is essential to provide a quality treatment because, even patients with the same... more
In this paper, we propose to bring together the semantic web experience and statistical natural language semantic parsing modeling. The idea is that, the process for populating knowledgebases by semantically parsing structured web pages... more
Nowadays many software development frameworks implement Behavior-Driven Development (BDD) as a mean of automating the test of interactive systems under construction. Automated testing helps to simulate user's actions on the User Interface... more
In this paper, a new Use-based usage CONtrol (UseCON) approach that supports recording of usages with the help of a new entity, named use, is presented. Uses provide information for the latest state (requested, active, denied, completed... more
The security related characteristics of entities, the contextual information that describes them and the previous or concurrent usages exercised in the system are the criteria that the Usage CONtrol (UCON) family of models utilizes in the... more
Usage CONtrol (UCON) is a next generation access control model enhanced with capabilities presented in trust and digital rights management. However, modern computing environments are usually introducing complex usage scenarios. Such a... more
Several deep learned lossy compression techniques have been proposed in the recent literature. Most of these are optimized by using either MS-SSIM (multi-scale structural similarity) or MSE (mean squared error) as a loss function.... more
Recent government-led efforts and industry-sponsored privacy initiatives in the healthcare sector have received heightened publicity. The current set of privacy laws and regulations mandate that all parties involved in the delivery of... more
A story is defined as actors taking actions that culminate in resolutions. In this paper we extract subject -verbobject relationships from paragraphs and generalize them into semantic conceptual representations. Overlapping generalized... more
The subliminal impact of framing of social, political and environmental issues such as climate change has been studied for long time in political science and communications research. Media framing offers "interpretative package" for... more
This research addresses Natural Language Pro- cessing (NLP) tokenization challenges for tran- sitional Chinese, which lacks adequate digi- tal resources. The project used a collection of articles from the Shenbao, a newspaper from this... more
Semantically enhanced information retrieval (IR) is aimed at improving classical IR methods and goes way beyond plain Boolean keyword matching with the main goal of better serving implicit and ambiguous information needs. As a de-facto... more
Retrieving a music file from a large database is a non-trivial task. To support this task, many mechanisms have been developed over the years. However, indexing files remains one of the most popular mechanisms. Several algorithms allow... more
Metaphors are fundamental to human cognition and communication, yet they pose significant challenges for artificial intelligence (AI) systems. Traditional natural language processing (NLP) models often interpret metaphors literally,... more
One of the most important fields of affective computing is related to the hard problem of emotion recognition. At present, there are several approaches to the problem of automatic emotion recognition based on different methods, like... more
Business intelligence (BI) reporting is essential for organizations that want to make data-driven decisions by collecting, processing, and visualizing critical business metrics. At one of the Manufacturing Company, BI reporting has been... more
Distribution and heterogeneity of data is the current issues in data level implementation. Different data representation between applications makes the integration problem increasingly complex. Stored data between applications sometimes... more
Abstract. Intelligent text information retrieval systems need the capability to deal with the semantics of the content of their text bases. In order to satisfy this requisite it is necessary to extract semantic information from the... more
In this paper, we propose a novel approach to introduce semantic relations into the bag-of-words framework. We use the latent semantic models, such as latent semantic analysis (LSA) and probabilistic latent semantic analysis (pLSA), in... more
In today’s digital arena security of the computer systems is one of the most important factors for users and businesses, as an attack on a system via the internet (cyber-attack) may cause heavy data loss and considerable harm to... more
Online social networks have become a fundamental part of the global online experience. They facilitate different modes of communication and social interactions, enabling individuals to play social roles that they regularly undertake in... more
Web services security has been a challenging issue in recent years because current security mechanisms, such as conventional firewalls, are not sufficient for protecting service-oriented systems from XML-based attacks. In order to provide... more
The fast development in IoT and Cloud technologies has propelled the emergence of a variety of computing paradigms, among which Fog and Edge computing are salient computing technologies. Such new paradigms are opening up new opportunities... more
Semantic Web is, without a doubt, gaining momentum in both industry and academia. The word "Semantic" refers to "meaning" -a semantic web is a web of meaning. In this fast changing and result oriented practical world, gone are the days... more
The current buzzword in the Internet community is the Semantic Web initiative proposed by the W3C to yield a Web that is more flexible and self-adapting. However, for the Semantic Web initiative to become a reality, heterogeneous data... more
This research investigation explores the security landscape in terms of Operating Systems (OS) security and the two dominant mobile operating systems, Android and Apple iOS, in response to the escalating concerns surrounding data privacy... more
Transformer-based Large Language Models (LLMs) often impose limitations on the length of the text input to ensure the generation of fluent and relevant responses. This constraint restricts their applicability in scenarios involving long... more
In today’s digital arena security of the computer systems is one of the most important factors for users and businesses, as an attack on a system via the internet (cyber-attack) may cause heavy data loss and considerable harm to... more
Entity Linking is the task of automatically identifying entity mentions in a piece of text and linking them to their corresponding entries in a reference knowledge base like Wikipedia. Although there is a plethora of works on entity... more
Semantic Binary Object-oriented Data Model (Sem-ODM) provides an expressive data model (similar to Object-oriented Data Models) with a well-known declarative query facility - SQL (similar to relational databases). Advantages of using... more
Приговор савести односи се на институцију одбијања учешћа у оружаним сукобима из разлога који могу бити узроковани верским, моралним, политичким или неким другим убеђењима. Њега прати захтев за алтернативним обликом служења војне обавезе.... more
In 1993, we started to develop a tool to help people manage structured personal and business information. Initially named ORCCA (Online Resources for Corporate Citizens Action), it was fully implemented as a Semantic Networks Editor and... more
This paper briefly discusses the various attendance monitoring technologies from manual to automated monitoring systems. Also, the Authors discussed on the impacts through strengthening the key features in contributing a more timely and... more
Semantic relatedness and semantic similarity play a vital role in information retrieval of words in natural language processing applications. The multilingual nature of South Africa affords people a superficial (as opposed to an expert)... more